dotnet / dotnet/perf-autofiling-issues

[Perf] Linux/x64: 1 Improvement on 8/2/2026 11:04:49 PM +00:00

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arch-wasm arch-x64 branch-refs/heads/main compilationmode-wasm kind-micro Look Again os-linux perf-improvement runkind-micro runtimetype-coreclr untriaged
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Description

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [a2f953fe266dc72602436e77614a9e10f60a7128](https://github.com/dotnet/runtime/commit/a2f953fe266dc72602436e77614a9e10f60a7128)
Compare | [abcd6eb3137ac133ef7f73eae95e7928160386c9](https://github.com/dotnet/runtime/commit/abcd6eb3137ac133ef7f73eae95e7928160386c9)
Diff | [Diff](https://github.com/dotnet/runtime/compare/a2f953fe266dc72602436e77614a9e10f60a7128...abcd6eb3137ac133ef7f73eae95e7928160386c9)
Configs | CompilationMode:wasm, RunKind:micro, RuntimeType:coreclr

### Improvements in PerfLabTests.CastingPerf2.CastingPerf

Benchmark | Baseline | Test | Test/Base | Test Quality | Edge Detector | Baseline IR | Compare IR | IR Ratio
-- | -- | -- | -- | -- | -- | -- | -- | --
|

  • [ScalarValueTypeObj - Duration of single invocation]()
  • 📝 - [Benchmark Source]()
  • [ADX - Test Multi Config Graph]()
| 39.82 ms | 35.95 ms | 0.90 | 0.16 | False | | |

![graph]()
[Test Report]()

### Repro
General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

```cmd
git clone https://github.com/dotnet/performance.git
python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'PerfLabTests.CastingPerf2.CastingPerf*'
```

### PerfLabTests.CastingPerf2.CastingPerf.ScalarValueTypeObj

#### ETL Files

#### Histogram

#### JIT Disasms

### Docs

[Profiling workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/profiling-workflow-dotnet-runtime.md)
[Benchmarking workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/benchmarking-workflow-dotnet-runtime.md)

Contributor guide

No contributing guide indexed for this repository

Research direction

Start with the linked CastingPerf2.cs benchmark and the perf report for ScalarValueTypeObj, then rerun the provided benchmarks_ci.py command using the documented workflow. Compare the baseline and test commits and investigate whether the reported improvement is reproducible; the result should establish the cause or provide a clear triage outcome.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, wasm
Domain
performance, testing
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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